Discrete mathematics for spatial data classification and understanding

Luigi Mussio; Rossella Nocera; Daniela Poli

doi:10.1117/12.333786

14 December 1998 Discrete mathematics for spatial data classification and understanding

Luigi Mussio, Rossella Nocera, Daniela Poli

Proceedings Volume 3641, Videometrics VI; (1998) https://doi.org/10.1117/12.333786
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Data processing, in the field of information technology, requires new tools, involving discrete mathematics, like data compression, signal enhancement, data classification and understanding, hypertexts and multimedia (considering educational aspects too), because the mass of data implies automatic data management and doesn't permit any a priori knowledge. The methodologies and procedures used in this class of problems concern different kinds of segmentation techniques and relational strategies, like clustering, parsing, vectorization, formalization, fitting and matching. On the other hand, the complexity of this approach imposes to perform optimal sampling and outlier detection just at the beginning, in order to define the set of data to be processed: rough data supply very poor information. For these reasons, no hypotheses about the distribution behavior of the data can be generally done and a judgment should be acquired by distribution-free inference only.

Citation Download Citation

Luigi Mussio, Rossella Nocera, and Daniela Poli "Discrete mathematics for spatial data classification and understanding", Proc. SPIE 3641, Videometrics VI, (14 December 1998); https://doi.org/10.1117/12.333786

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available